{"title":"一种用于手臂手势识别的超声身体区域网络","authors":"E. Pfann, M. Huemer","doi":"10.1109/ICECS49266.2020.9294835","DOIUrl":null,"url":null,"abstract":"This contribution describes the concept and implementation of a wearable arm gesture recognition system. The system relies on an ultrasound body area network for communication and to enable distance measurements between torso and arms. The network nodes use new capacitive micromachined ultrasonic transducer technology. The operation and performance is shown with the help of a real time demonstrator system.","PeriodicalId":404022,"journal":{"name":"2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Ultrasound Body Area Network for Arm Gesture Recognition\",\"authors\":\"E. Pfann, M. Huemer\",\"doi\":\"10.1109/ICECS49266.2020.9294835\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This contribution describes the concept and implementation of a wearable arm gesture recognition system. The system relies on an ultrasound body area network for communication and to enable distance measurements between torso and arms. The network nodes use new capacitive micromachined ultrasonic transducer technology. The operation and performance is shown with the help of a real time demonstrator system.\",\"PeriodicalId\":404022,\"journal\":{\"name\":\"2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)\",\"volume\":\"109 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECS49266.2020.9294835\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS49266.2020.9294835","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Ultrasound Body Area Network for Arm Gesture Recognition
This contribution describes the concept and implementation of a wearable arm gesture recognition system. The system relies on an ultrasound body area network for communication and to enable distance measurements between torso and arms. The network nodes use new capacitive micromachined ultrasonic transducer technology. The operation and performance is shown with the help of a real time demonstrator system.